head to head · open source
Mem0 vs LiteLLM
Mem0 has 65,539 GitHub stars, 7,687 forks, 742 open issues and last shipped yesterday. LiteLLM has 59,036 stars, 11,545 forks, 5,022 open issues and last shipped yesterday. Mem0 leads on adoption by 11% (65,539 vs 59,036 stars). Mem0 is written in Python under Apache-2.0; LiteLLM is written in Python under a custom or non-standard licence. Mem0 has attracted 12% as many forks as stars, LiteLLM 20%. LiteLLM was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Mem0 | LiteLLM | |
|---|---|---|
| GitHub stars | ★ 66K | ★ 59K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | Python |
| Last push | 2026-09-18 | 2026-09-18 |
| Forks | ⑂ 7.7K | ⑂ 12K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Mem0 if
- You weight community size — 66K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick LiteLLM if
- You want the LiteLLM feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Python
- You evaluated both and LiteLLM fits your workflow better
About Mem0
Mem0 is an open source memory layer for AI agents and applications, designed to store, retrieve, and manage persistent context across interactions. It lives in the Python based AI development ecosystem and provides infrastructure that enables agents and apps to remember user preferences, conversation history, and state over time—moving beyond ephemeral chat sessions toward truly adaptive systems.
About LiteLLM
LiteLLM is an open source AI gateway that provides a unified interface to call over 100 large language model (LLM) providers—including OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, Google VertexAI, and vLLM—using the OpenAI compatible API format. It runs as both a Python SDK for direct integration and as a standalone proxy server for centralized, team or organization wide use.
read the full LiteLLM overview →
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Frequently asked questions
Is Mem0 or LiteLLM more popular?
Mem0 has 65,539 GitHub stars and LiteLLM has 59,036. Mem0 has the larger community by that measure.
Are Mem0 and LiteLLM free?
Both are open source. Mem0 is licensed under Apache-2.0, and LiteLLM has no licence declared in this registry. Both are free to self-host.
What is the difference between Mem0 and LiteLLM?
Mem0 is written in Python and LiteLLM in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Mem0 or LiteLLM?
Choose Mem0 if you want the larger community (65,539 stars) or its Apache-2.0 licence terms. Choose LiteLLM if its feature set, stack or Custom / other licence fits better. Both are self-hostable.